QuickDialog is a multimedia company running a messaging app. One of the principal features of QuickDialog is that pictures and messages are usually only available for a short time before they become inaccessible to users. The app has evolved from originally centering on person-to-person photo sharing to present users` "Stories" of 24 hours of sequential content, along with "Discover", allowing brands show ad-supported short-form media.
QuickDialog is using RDS to support their existing mobile application and are facing lot of issues in terms of scalability, performance and high availability. They are considering DynamoDB to migrate the platform. Please advise why do you think DynamoDB is a right platform to address QuickDialog Business needs. Select 3 options.

Answer options:

A.Support key-value and document based data models with a provision to have a flexible schema, so each row can have any number of columns at any point in time which can cater new business requirements at relative ease
B.Provides two read/write capacity modes for each table: on-demand and provisioned
C.Uses columnar storage, data compression, and zone maps to reduce the amount of I/O needed to perform queries and uses a massively parallel processing (MPP) architecture to parallelize and distribute SQL operations to take advantage of all available resources
D.Replicate your data automatically across your choice of AWS Regions and automatically scale capacity to accommodate your workloads so that globally distributed applications can access data locally in the selected regions to get single-digit millisecond read and write performance
E.utilizes sophisticated algorithms to predict incoming query run times, and assigns them to the optimal queue for the fastest processing

Answer : A,B, D
Option A is correct -DynamoDB supports both key-value and document data models. This enables DynamoDB to have a flexible schema, so each row can have any number of columns at any point in time.
https://aws.amazon.com/dynamodb/features/
Option B is correct -DynamoDB provides two read/write capacity modes for each table: on-demand and provisioned. For workloads that are less predictable for which you are unsure that you will have high utilization, on-demand capacity mode takes care of managing capacity for you, and you only pay for what you consume. Tables using provisioned capacity mode require you to set read and write capacity.
https://aws.amazon.com/dynamodb/features/
Option C is incorrect -Amazon Redshift delivers fast query performance on datasets ranging in size from gigabytes to exabytes. Redshift uses columnar storage, data compression, and zone maps to reduce the amount of I/O needed to perform queries. It uses a massively parallel processing (MPP) data warehouse architecture to parallelize and distribute SQL operations to take advantage of all available resources.
https://aws.amazon.com/redshift/features/
Option D is correct - DynamoDB global tables replicate your data automatically across your choice of AWS Regions and automatically scale capacity to accommodate your workloads. With global tables, your globally distributed requests can access data locally in the selected regions to get single-digit millisecond read and write performance
Option E is incorrect -this feature is provided by Redshift. Amazon Redshift uses machine learning to deliver high throughout based on your workloads. Redshift utilizes sophisticated algorithms to predict incoming query run times, and assigns them to the optimal queue for the fastest processing.
https://aws.amazon.com/redshift/features/